T1-R5 ecosystem
Secret: A value that grants access. It is not lesson content.
Git
HTTP
JSON
unit tests
A Python script can later call a local runner or a cloud API with the same JSON shape.
The same notebook becomes the capstone log.
Write the goal in one sentence.
Name the input and the allowed output.
Save the trace next to the result.
The answer looks fluent and is wrong. Check whether a source passage actually contains the claim.
The loop never stops. Set a step cap and stop when the tool result repeats.
Sources and go deeper
- OWASP Top 10 for Large Language Model Applications community last checked 2026-10
- NIST AI Risk Management Framework spec last checked 2026-10
- Large language model — Wikipedia wikipedia last checked 2026-10